LightFD: Real-Time Fault Diagnosis with Edge Intelligence for Power Transformers

Power fault monitoring based on acoustic waves has gained a great deal of attention in industry. Existing methods for fault diagnosis typically collect sound signals on site and transmit them to a back-end server for analysis, which may fail to provide a real-time response due to transmission packet...

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Detalles Bibliográficos
Autores principales: Fu, Xinhua, Yang, Kejun, Liu, Min, Xing, Tianzhang, Wu, Chase
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322841/
https://www.ncbi.nlm.nih.gov/pubmed/35890976
http://dx.doi.org/10.3390/s22145296

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9322841/
https://www.ncbi.nlm.nih.gov/pubmed/35890976
http://dx.doi.org/10.3390/s22145296

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